Data Engineer

₹14L – ₹18L • No equity
|
Bengaluru
|5 years of exp
|Full Time

Posted: yesterday• Recruiter recently active

Job Location

Bengaluru

Remote Work Policy

In office

Visa Sponsorship

Not Available

RelocationAllowed

Skills

Python

SQL

ETL

Microsoft Azure

Pyspark

databricks

ETL/ELT

Medallion Architecture

About the job

About the Role

We are looking for a highly skilled Senior Data Engineer to design, build, and optimize scalable data platforms and pipelines. The ideal candidate will have strong expertise in big data technologies, cloud platforms, ETL frameworks, DataOps practices, and distributed computing. You will collaborate with cross-functional teams to build enterprise-grade data solutions that enable data-driven decision making across the organization.

Bengaluru (5 days Work from Office)
Exp - 5+

Requirements
Roles & Responsibilities
Design, build, and maintain scalable data pipelines and modern data platforms on Hadoop or cloud environments.
Develop and optimize end-to-end ETL/ELT workflows for structured and unstructured data using modern data engineering frameworks.
Architect robust data flows that improve scalability, reliability, and operational efficiency.
Drive DataOps best practices by automating data provisioning, testing, monitoring, and deployment processes.
Establish data governance standards, CI/CD pipelines, automated testing, and monitoring for production-grade data solutions.
Collaborate with Enterprise Architecture and cross-functional teams to evaluate and implement the right data technologies and platform strategies.
Build and maintain dimensional data models to support analytics and business intelligence initiatives.
Develop highly optimized SQL queries to process and analyze large-scale datasets.
Work with Python/PySpark and distributed computing technologies to process high-volume data efficiently.
Lead data engineering work streams with a product mindset, ensuring high-quality and scalable data solutions.
Continuously improve platform performance, deployment frequency, and data reliability through engineering best practices.

Benefits
Opportunity to build enterprise-scale data platforms.
Exposure to modern DataOps, cloud, and big data technologies.
Work with cross-functional teams on high-impact analytics and AI initiatives.
Career growth within a leading global retail and hospitality organization.